3076. Shortest Uncommon Substring in an Array
Description
You are given an array arr of size n consisting of non-empty strings.
Find a string array answer of size n such that:
answer[i]is the shortest substring ofarr[i]that does not occur as a substring in any other string inarr. If multiple such substrings exist,answer[i]should be the lexicographically smallest. And if no such substring exists,answer[i]should be an empty string.
Return the array answer.
Example 1:
Input: arr = ["cab","ad","bad","c"] Output: ["ab","","ba",""] Explanation: We have the following: - For the string "cab", the shortest substring that does not occur in any other string is either "ca" or "ab", we choose the lexicographically smaller substring, which is "ab". - For the string "ad", there is no substring that does not occur in any other string. - For the string "bad", the shortest substring that does not occur in any other string is "ba". - For the string "c", there is no substring that does not occur in any other string.
Example 2:
Input: arr = ["abc","bcd","abcd"] Output: ["","","abcd"] Explanation: We have the following: - For the string "abc", there is no substring that does not occur in any other string. - For the string "bcd", there is no substring that does not occur in any other string. - For the string "abcd", the shortest substring that does not occur in any other string is "abcd".
Constraints:
n == arr.length2 <= n <= 1001 <= arr[i].length <= 20arr[i]consists only of lowercase English letters.
Solutions
Solution 1: Enumeration
Given the small data scale, we can directly enumerate all substrings of each string and then determine whether it is a substring of other strings.
Specifically, we first enumerate each string arr[i], then enumerate the length \(j\) of each substring from small to large, and then enumerate the starting position \(l\) of each substring. We can get the current substring as sub = arr[i][l:l+j]. Then we determine whether sub is a substring of other strings. If it is, we skip the current substring; otherwise, we update the answer.
The time complexity is \(O(n^2 \times m^4)\), and the space complexity is \(O(m)\). Where \(n\) is the length of the string array arr, and \(m\) is the maximum length of the string. In this problem, \(m \le 20\).
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